World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7809
World Ranking
8352
National Ranking
3582

Shi-Kuo Chang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Shi-Kuo Chang sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 370 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Shi-Kuo Chang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Shi-Kuo Chang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 1986 - IEEE Fellow For contributions to pictorial information processing techniques, and leadership in computer engineering research and education.

Overview

Shi-Kuo Chang is affiliated with the University of Pittsburgh in the United States and specializes in computer science. Their research contributions span several subfields, including computer vision and pattern recognition, computer networks and communications, information systems, human-computer interaction, and sociology and political science.

The research topics of focus include:

  • Cloud Computing and Resource Management
  • Innovative Human-Technology Interaction
  • Context-Aware Activity Recognition Systems
  • IoT and Edge/Fog Computing
  • Software System Performance and Reliability
  • Service-Oriented Architecture and Web Services
  • Video Surveillance and Tracking Methods

Shi-Kuo Chang has published multiple papers predominantly in the "International Journal of Software Engineering and Knowledge Engineering," with five publications in this venue. Additional work has appeared in the proceedings of the International Conference on Software Engineering and Knowledge Engineering, as well as the journal "Multimedia Tools and Applications."

Notable recent papers include:

  • "A Computation Model for Senior Citizen Health Self-Care," 2020, International Journal of Software Engineering and Knowledge Engineering
  • "Software Design Pattern Analysis for Micro-Service Architecture using Queuing Networks (S)," 2021, Proceedings of the International Conference on Software Engineering and Knowledge Engineering
  • "Special issue on Sentient Multimedia Systems," 2022, Multimedia Tools and Applications
  • "Guest Editor's Introduction," 2022, International Journal of Software Engineering and Knowledge Engineering
  • "Guest Editor's Introduction," 2020, International Journal of Software Engineering and Knowledge Engineering

Frequent collaborators in research include:

  • Giuseppe Polese
  • Han Zhong Zheng
  • Tian Yi Cui
  • Nannan Wen
  • Hao Zhai

Shi-Kuo Chang has been recognized as an IEEE Fellow since 1986, an award granted for contributions to pictorial information processing techniques and leadership in computer engineering research and education.

Best Publications

  • Iconic Indexing by 2-D Strings

    Shi-Kuo Chang;Qing-Yun Shi;Cheng-Wen Yan

  • An intelligent image database system

    S.K. Chang;C.W. Yan;D.C. Dimitroff;T. Arndt

  • Image information systems: where do we go from here?

    Shi-Kuo Chang;Arding Hsu

  • Visual Languages: A Tutorial and Survey

    Shi-Kuo Chang

  • Visual Languages

    Shi-Kuo K. Chang;Tadao Ichikawa;Panos A. Ligomenides

  • Principles of pictorial information systems design

    Shi-Kuo Chang

  • Picture Indexing and Abstraction Techniques for Pictorial Databases

    Shi-Kuo Chang;Shao-Hung Liu

  • A method for the structural analysis of two-dimensional mathematical expressions

    Shi-Kuo Chang

  • Pictorial Data-Base Systems

    Shi-Kuo Chang;T.L. Kunil

  • The reconstruction of binary patterns from their projections

    Shi-Kuo Chang

  • An Interactive System for Chinese Character Generation and Retrieval

    Shi-Kuo Chang

  • Symbolic projection for image information retrieval and spatial reasoning

    Shi Kuo Chang;Erland Jungert

  • The Reconstruction of Three-Dimensional Objects from Two Orthogonal Projections and its Application to Cardiac Cineangiography

    Shi-Kuo Chang;C.K. Chow

  • Representation And Retrieval Of Symbolic Pictures Using Generalized 2D Strings

    Shi-Kuo Chang;Erland Jungert;Ying Li

  • Principles of visual programming systems

    Shi-Kuo Chang

  • A visual language compiler

    S.-K. Chang;M.J. Tauber;B. Yu;J.-S. Yu

  • The Generation of Minimal Trees with a Steiner Topology

    Shi-Kuo Chang

  • Integrating Software Engineering Methods and Petri Nets for the Specification and Prototyping of Complex Information Systems

    Yi Deng;Shi-Kuo Chang;Jorge C. A. de Figueired;Jorge C. A. de Figueired;Angelo Perkusich;Angelo Perkusich

  • Pictorial Information Systems

    Shi-Kuo Chang

  • Advances in Software Engineering and Knowledge Engineering

    Vincenzo Ambriola;Genoveffa Tortora;S. K. Chang

Frequent Co-Authors

Maria Francesca Costabile
Maria Francesca Costabile University of Bari Aldo Moro
Panos K. Chrysanthis
Panos K. Chrysanthis University of Pittsburgh
Mary Lou Soffa
Mary Lou Soffa University of Virginia
Genoveffa Tortora
Genoveffa Tortora University of Salerno
Tiziana Catarci
Tiziana Catarci Sapienza University of Rome
Taieb Znati
Taieb Znati University of Pittsburgh
Stephen S.-T. Yau
Stephen S.-T. Yau Tsinghua University
Daniel Mosse
Daniel Mosse University of Pittsburgh
Kim Marriott
Kim Marriott Monash University

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